Evidence map›Paper›PMID 39974096›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Genetic score associations with birthweight in preterm-born infants compared with term-born infants.

Robin N Beaumont, Sarah J Kotecha, Shannon J Simpson, Sailesh Kotecha, Rachel M Freathy

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Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Robin N BeaumontDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.ORCID 0000-0003-0750-8248
Sarah J KotechaDepartment of Child Health, School of Medicine, Cardiff University, Cardiff, UK.
Shannon J SimpsonWal-yan Respiratory Centre, The Kids Research Institute Australia, Perth, Western Australia.
Sailesh KotechaDepartment of Child Health, School of Medicine, Cardiff University, Cardiff, UK.
Rachel M FreathyDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.

Funding

Integrating genomic studies of gestational duration and birth weight to understand maternal and fetal causes of adverse pregnancy outcomes and links with later diseasesR01HD101669 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI FREATHY, RACHEL, JACOBSSON, BO · 2021 to 2024
$2.1M
NICHD NIH HHS R01 HD101669Wellcome Trust
6 · The paper itself

Abstract

Objective: In preterm infants, lower birthweight correlates with a higher risk of neonatal complications. Understanding the factors influencing birthweight in these infants is important as it may guide future antenatal and perinatal care. Genetic variants account for at least one-quarter of variation in birthweight in term-born infants, but the genetic contribution to birthweight in preterm infants is not well understood. We aimed to compare genetic score associations with birthweight in a well-powered sample of preterm infants with those in term-born infants. Study design: We used linear regression to test the association between birth weight and fetal genetic scores for birthweight (BW-GS) in a total of 1,416 preterm, singleton and 15,253 term, singleton infants. Analyses, adjusted for ancestry principal components were performed within each of 4 datasets and meta-analysed. Results: In term-born infants: a 1 SD higher BW-GS was associated with a 1.20 (95% CI 1.10-1.29) SD higher birthweight. In preterm infants, there was also strong evidence of association, but with a smaller effect size (0.76SD (0.41-1.11) higher birthweight per 1-SD higher BW-GS). In preterms, when stratifying by gestational duration, we found that the associations strengthened with increasing gestational duration. Conclusions: Genetic scores composed of variants identified in term-born infants also influenced birthweight in preterm infants. However, the associations had smaller effects in preterms and were weaker at earlier gestations. This suggests that while many of the same genetic factors influence birthweight in preterm and term-born infants, other factors (environmental, placental, different genetic) may be more important in preterms. Future well-powered studies are required to investigate this.

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PMID39974096
PMCPMC11838948

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